Triple

T7518952
Position Surface form Disambiguated ID Type / Status
Subject Cluj International Airport E177717 entity
Predicate IATAcode P418 FINISHED
Object CLJ
CLJ is the IATA airport code for Cluj International Airport serving the city of Cluj-Napoca in Romania.
E670454 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: CLJ | Statement: [Cluj International Airport, IATAcode, CLJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CLJ
Context triple: [Cluj International Airport, IATAcode, CLJ]
  • A. LCJ
    LCJ is the IATA airport code for Łódź Władysław Reymont Airport in Łódź, Poland.
  • B. CJC
    CJC is the IATA airport code for El Loa Airport serving the city of Calama in northern Chile.
  • C. CJC
    CJC is the commonly used abbreviation for the College of Journalism and Communications, an academic institution focused on media, journalism, and communication studies.
  • D. CJO
    CJO is the abbreviated title for the senior military officer responsible for overseeing joint operations across multiple service branches.
  • E. CLY
    CLY is the IATA airport code for Calvi – Sainte-Catherine Airport, a regional airport serving the town of Calvi on the island of Corsica, France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CLJ
Triple: [Cluj International Airport, IATAcode, CLJ]
Generated description
CLJ is the IATA airport code for Cluj International Airport serving the city of Cluj-Napoca in Romania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CLJ
Target entity description: CLJ is the IATA airport code for Cluj International Airport serving the city of Cluj-Napoca in Romania.
  • A. LCJ
    LCJ is the IATA airport code for Łódź Władysław Reymont Airport in Łódź, Poland.
  • B. CJC
    CJC is the commonly used abbreviation for the College of Journalism and Communications, an academic institution focused on media, journalism, and communication studies.
  • C. CJC
    CJC is the IATA airport code for El Loa Airport serving the city of Calama in northern Chile.
  • D. CJO
    CJO is the abbreviated title for the senior military officer responsible for overseeing joint operations across multiple service branches.
  • E. CLY
    CLY is the IATA airport code for Calvi – Sainte-Catherine Airport, a regional airport serving the town of Calvi on the island of Corsica, France.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f850c081909e697219071293fc completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8462610b481909fa74023852b0154 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c8471da6c481909b48db7ad6e9426d completed March 28, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_69c848026e90819098d0b419101f91e1 completed March 28, 2026, 9:28 p.m.
Created at: March 27, 2026, 3:46 p.m.